By Jeremy Frank
This month the White House announced a total of 154 companies have joined the American Business Act on Climate Pledge ranging from Alcoa to Volvo.
With this announcement, the companies pledge to do something about climate change and contribute to a low-carbon, sustainable future. This is a big deal for the manufacturing world. These companies operate in all 50 states, employ nearly 11 million people, represent more than $4.2 trillion in annual revenue, and have a combined market capitalization of over $7 trillion.
This is an even bigger deal for anyone working in predictive maintenance because our work is the key to the success of these companies and initiatives. What better way to reduce emissions, use less water and raw materials and create less waste than running on an efficient and predictive maintenance schedule.
Our jobs just became a lot more important to our boss’s boss’s boss.
One particular area we will soon all focus on is the inefficiency of our pumps, which account for up to 40 percent of wasted electrical energy in both industrial and building services.
Recently KCF teamed up with The Hydraulic Institute, Engineered Software, Flowserve, Nidec and Emerson to challenge Penn State engineering students to address three different pump system efficiency issues using Internet-based sensor technologies and modeling simulation software. Their solutions, which focused on modeling and analysis of hydraulic systems, were outstanding and I encourage you to read about them here.
However, my point is the 154 companies that committed to improving manufacturing are going to need a lot of new ideas for doing things they have been doing for more than a century. And we know many of these ideas will come from our community of preventative maintenance professionals.
What predictive maintenance ideas do you have that will improve our environment?
KCF Technologies is an engineering company founded in 2000 and based in Central Pennsylvania. Its latest breakthrough is a wireless sensor system that notifies you when a machine is going to fail before it actually does. It’s called SmartDiagnostics. Organizations taking advantage of this new technology are seeing significant improvements in safety, uptime and profitability.